Sam M Mbulaiteye1, Lindsay M Morton2, Joshua N Sampson2, Ellen T Chang2, Laura Costas2, Silvia de Sanjosé2, Tracy Lightfoot2, Jennifer Kelly2, Jonathan W Friedberg2, Wendy Cozen2, Rafael Marcos-Gragera2, Susan L Slager2, Brenda M Birmann2, Dennis D Weisenburger2. 1. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW). mbulaits@mail.nih.gov. 2. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW).
Abstract
BACKGROUND: The etiologic role of medical history, lifestyle, family history, and occupational risk factors in sporadic Burkitt lymphoma (BL) is unknown, but epidemiologic and clinical evidence suggests that risk factors may vary by age. METHODS: We investigated risk factors for sporadic BL in 295 cases compared with 21818 controls in a pooled analysis of 18 case-control studies in the International Lymphoma Epidemiology Consortium (InterLymph). Cases were defined to include typical BL or Burkitt-like lymphoma. Odds ratios (ORs) and 95% confidence intervals (CIs) for associations were calculated separately for younger (<50 years) and older (≥ 50 years) BL using multivariate logistic regression. RESULTS: Cases included 133 younger BL and 159 older BL (age was missing for three cases) and they were evenly split between typical BL (n = 147) and Burkitt-like lymphoma (n = 148). BL in younger participants was inversely associated with a history of allergy (OR = 0.58; 95% CI = 0.32 to 1.05), and positively associated with a history of eczema among individuals without other atopic conditions (OR = 2.54; 95% CI = 1.20 to 5.40), taller height (OR = 2.17; 95% CI = 1.08 to 4.36), and employment as a cleaner (OR = 3.49; 95% CI = 1.13 to 10.7). BL in older participants was associated with a history of hepatitis C virus seropositivity (OR = 4.19; 95% CI = 1.05 to 16.6) based on three exposed cases. Regardless of age, BL was inversely associated with alcohol consumption and positively associated with height. CONCLUSIONS: Our data suggest that BL in younger and older adults may be etiologically distinct. Published by Oxford University Press 2014.
BACKGROUND: The etiologic role of medical history, lifestyle, family history, and occupational risk factors in sporadic Burkitt lymphoma (BL) is unknown, but epidemiologic and clinical evidence suggests that risk factors may vary by age. METHODS: We investigated risk factors for sporadic BL in 295 cases compared with 21818 controls in a pooled analysis of 18 case-control studies in the International Lymphoma Epidemiology Consortium (InterLymph). Cases were defined to include typical BL or Burkitt-like lymphoma. Odds ratios (ORs) and 95% confidence intervals (CIs) for associations were calculated separately for younger (<50 years) and older (≥ 50 years) BL using multivariate logistic regression. RESULTS: Cases included 133 younger BL and 159 older BL (age was missing for three cases) and they were evenly split between typical BL (n = 147) and Burkitt-like lymphoma (n = 148). BL in younger participants was inversely associated with a history of allergy (OR = 0.58; 95% CI = 0.32 to 1.05), and positively associated with a history of eczema among individuals without other atopic conditions (OR = 2.54; 95% CI = 1.20 to 5.40), taller height (OR = 2.17; 95% CI = 1.08 to 4.36), and employment as a cleaner (OR = 3.49; 95% CI = 1.13 to 10.7). BL in older participants was associated with a history of hepatitis C virus seropositivity (OR = 4.19; 95% CI = 1.05 to 16.6) based on three exposed cases. Regardless of age, BL was inversely associated with alcohol consumption and positively associated with height. CONCLUSIONS: Our data suggest that BL in younger and older adults may be etiologically distinct. Published by Oxford University Press 2014.
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